<html><head><title>The blood flow dataset.</title>
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<h2>The blood flow dataset.</h2>


<h3>Description</h3>

<p>
The blood flow dataset.
</p>


<h3>Usage</h3>

<pre>data(la)</pre>


<h3>Format</h3>

<p>
A data frame with 251 observations on the following 4 variables.
<dl>
<dt><code>bflow</code></dt><dd>the blood flow measured invasively using radioactively labelled micro-spheres</dd>
<dt><code>PET60</code></dt><dd>is the blood flow measured non-invasively by positron emission tomography using a scan
up to 60 seconds</dd>
<dt><code>PETother</code></dt><dd>?</dd>
<dt><code>PET510</code></dt><dd>is the blood flow measured non-invasively by positron emission tomography using a scan
up to 510 seconds</dd>
</dl>

<h3>Details</h3>

<p>
The blood flow data were analyzed by Lange <EM>et al.</EM> (1989), Jones and Faddy (2003) and Rigby and Stasinopoulos (2006). 
As response variables y the variables PET60, PETother, PET510
can be used representing  blood flow
measured non-invasively by positron emission tomography using a scan
up to 60 seconds (PET60) or 510 second (PET510) respectively.  The explanatory variable x is the blood
flow measured invasively using radioactively labelled micro-spheres.
The distribution of y has previously been modelled by a normal (NO) and a  <EM>t</EM> family
distribution (TF), Lange <EM>et al.</EM> (1989), and by a skew <EM>t</EM>
distribution (ST), Jones and Faddy (2003) and by Rigby and Stasinopoulos (2006) using several three and four parameter distributions, 
including the Box-Cox power exponential (BCPE), Rigby and Stasinopoulos (2004) and the Box-Cox t diastribution (BCT) .
</p>


<h3>References</h3>

<p>
Jones, M. C. and Faddy, M. J. (2003). A skew extension of the t
distribution, with applications. <EM>J. Roy. Statist.</EM> Soc B, <B>65</B>, 159-174.
</p>
<p>
Lange, K. L., Little, R. J. A. and Taylor, J. M. G. (1989).
Robust statistical modelling using the t distribution. <EM>J. Am. Statist.
Ass.</EM>, <B>84</B>, 881-896. 
</p>
<p>
Rigby, R.A. Stasinopoulos, D.M. (2006).  Using the Box-Cox <EM>t</EM> distribution in GAMLSS to mode skewnees and  and kurtosis.
to appear in <EM>Statistical Modelling</EM>.
</p>


<h3>Examples</h3>

<pre>
data(la)
plot(PET60~bflow,data=la)
</pre>



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